Let an AI agent triage your feedback for you

Collecting feedback is easy. Acting on it is the part that slips. New items trickle in, they pile up next to older ones you've half-forgotten, and the daily triage becomes the chore you keep postponing.

SeggWat ships with an MCP server, which changes the shape of that problem. Any MCP-capable AI agent can read your feedback, sort it, draft replies, and update statuses, using the same operations you'd run yourself. So instead of opening the dashboard every morning, you can ask an agent to do the pass and hand you a ranked queue.

Here's how to set it up, and what it can actually do once it's connected.

What MCP gives you

MCP (Model Context Protocol) is the open standard for connecting AI agents to tools. When a product exposes an MCP server, an agent can call its functions directly: list things, read them, create them, update them. No custom integration, no scraping, no brittle glue code.

SeggWat's MCP server exposes the things you care about: projects, feedback, ratings, surveys, and changelog entries. An agent connected to it can list your new feedback, pull a single item in full, file new feedback, change a status, or read your NPS and star stats. The same surface the dashboard and the CLI use.

Connect it

The fastest path is Claude. SeggWat is a Claude custom connector, so there's nothing to copy or configure. In Claude, add a custom connector and paste the server URL:

https://seggwat.com/mcp

Claude registers itself, sends you to SeggWat to authorize, and a single click on the consent screen finishes it — no API key, no client ID, no config file. It works the same in Claude on the web, the desktop app, and Claude Code. (Full walkthrough: Connect SeggWat to Claude.)

The nice part of the OAuth flow is that you never handle a credential. Authorizing mints an ordinary SeggWat access token labelled Claude (MCP) on your API tokens page; to disconnect, revoke it from the dashboard. Connecting authorizes against your organization, so you'll need admin or owner access.

Other MCP clients — Cline, or anything that doesn't support custom connectors — authenticate with a static token instead. Create an Organization Access Token in the dashboard (it starts with oat_) and pass it as a Bearer header. Treat it like a password, and revoke it if it ever leaks.

Either way, once connected the SeggWat tools show up in the agent's toolbox and everything below works the same.

What the agent can actually do

Once connected, the useful work is less "summarize my feedback" and more "make decisions I can act on." A good triage pass does four things:

Cluster, don't list. A flat list of new items is noise. Ask the agent to group related feedback, including older open items, so three separate reports about the same area collapse into one theme. That grouping is usually where the real signal hides.

Rank by severity, not just count. One report of a broken core flow should outrank five cosmetic requests. Tell the agent to weight frequency against severity and user impact, so a funnel-breaking bug rises to the top even with a single reporter.

Prepare a response, not a recap. For the top items, have it draft a root-cause guess and the smallest plausible fix, plus a reply to the person who reported it. Closing the loop with users is the highest-leverage thing most teams skip, and it's the easiest to automate a first draft of.

Update state. The agent can move an item to active, mark one resolved with a resolution note, or file a new item from an external source. Triage that doesn't change anything isn't triage.

A daily routine in a few minutes

The strongest version of this runs without you. If your client can run on a schedule — Claude Code on a cron job, for instance — set up a recurring task, something like:

Every morning at 7am, pull feedback created today for my SeggWat project. Group related items (include older open ones), rank by severity and user impact, draft a fix direction and a reply for the top items, and send me the summary.

One detail worth building in: SeggWat's feedback list returns a created_at on every item, so the agent can filter to today's feedback cleanly. And if your reporters write in their own language, tell the agent to draft replies in that language rather than yours.

That's the whole loop. Feedback arrives, an agent sorts it overnight, and you start the day with a queue you can act on instead of a tab you'll close.

Why this matters

The point isn't novelty. It's that the gap between "a user told me something" and "I did something about it" is where products quietly lose people. An agent that triages before you wake up shrinks that gap to hours, and it costs you a one-time connection instead of ongoing effort.

If you already collect feedback with SeggWat, the MCP server is sitting there waiting. Connect your agent and let it take the morning shift.

Connect SeggWat to Claude →